Please check the data repositories associated with each study. If you are unable to find what you need, then contact Ian. We are happy to share our data for academic purposes, but the size of our datasets makes hosting them online impractical.

We often develop R code for performing landscape genetic and related analyses. Any of our published code can be found here.

Multiple Matrix Regression with Randomization (R function: MMRR)
MMRR presents a method for quantifying and disentangling the relative effects of isolation by distance (IBD) and isolation by environment (IBE). In practice, this method can easily be extended to quantify the relationships between any number of explanatory variables that can be represented as distance matrices and a given response variable (e.g. genetic distances).

R code and a brief tutorial:   MMRR.R
Dryad entry:   MMRR function R script
Source to be cited:   Wang I. J. 2013. Examining the full effects of landscape heterogeneity on spatial genetic variation: a multiple matrix regression approach for quantifying geographic and ecological isolation. Evolution, 67: 3403-3411. [pdf]